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IAPP AIGP Exam Syllabus Topics:

TopicDetails
Topic 1
  • Understanding How to Govern AI Deployment and Use: This section of the exam measures skills of technology deployment leads and covers the responsibilities associated with selecting, deploying, and using AI models in a responsible manner. It includes evaluating key factors and risks before deployment, understanding different model types and deployment options, and ensuring ongoing monitoring and maintenance. The domain applies to both proprietary and third-party AI models, emphasizing the importance of transparency, ethical considerations, and continuous oversight throughout the model’s operational life.
Topic 2
  • Understanding How to Govern AI Development: This section of the exam measures the skills of AI project managers and covers the governance responsibilities involved in designing, building, training, testing, and maintaining AI models. It emphasizes defining the business context, performing impact assessments, applying relevant laws and best practices, and managing risks during model development. The domain also includes establishing data governance for training and testing, ensuring data quality and provenance, and documenting processes for compliance. Additionally, it focuses on preparing models for release, continuous monitoring, maintenance, incident management, and transparent disclosures to stakeholders.
Topic 3
  • Understanding the Foundations of AI Governance: This section of the exam measures skills of AI governance professionals and covers the core concepts of AI governance, including what AI is, why governance is needed, and the risks and unique characteristics associated with AI. It also addresses the establishment and communication of organizational expectations for AI governance, such as defining roles, fostering cross-functional collaboration, and delivering training on AI strategies. Additionally, it focuses on developing policies and procedures that ensure oversight and accountability throughout the AI lifecycle, including managing third-party risks and updating privacy and security practices.
Topic 4
  • Understanding How Laws, Standards, and Frameworks Apply to AI: This section of the exam measures skills of compliance officers and covers the application of existing and emerging legal requirements to AI systems. It explores how data privacy laws, intellectual property, non-discrimination, consumer protection, and product liability laws impact AI. The domain also examines the main elements of the EU AI Act, such as risk classification and requirements for different AI risk levels, as well as enforcement mechanisms. Furthermore, it addresses the key industry standards and frameworks, including OECD principles, NIST AI Risk Management Framework, and ISO AI standards, guiding organizations in trustworthy and compliant AI implementation.

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q16-Q21):

NEW QUESTION # 16
Which of the following statements is correct regarding South Korea ' s Basic Act on the Development of Artificial Intelligence and the Establishment of Trust (the " AI Basic Act " )?

Answer: D

Explanation:
C is the correct statement, subject to the statutory thresholds. Article 36 of South Korea ' s AI Basic Act requires an AI business operator without an address or business office in Korea to designate a domestic representative when it meets prescribed criteria concerning users, revenue, or other specified conditions. The implementing decree establishes those thresholds, including qualifying revenue and Korean-user levels. The Act also applies extraterritorially where conduct outside Korea affects the Korean market or users. Generative AI is not categorically excluded, eliminating B. The Korean framework does not simply reproduce the EU AI Act ' s prohibited-practices regime described in D, and " frontier models " are not established as the distinct regulatory category suggested by A. Therefore, domestic-representative requirements make C the best answer.


NEW QUESTION # 17
Which of the following may be permissible uses of an AI system under the EU AI Act EXCEPT?

Answer: A

Explanation:
The correct answer is D. Emotion recognition in the workplace is flagged as unacceptable or highly restricted under the EU AI Act due to its intrusive nature and potential for misuse.
From the AIGP ILT Guide - EU AI Act Training Module:
"AI systems that monitor individuals' emotions in the workplace or educational settings are listed among prohibited or strictly limited practices under Article 5." AI Governance in Practice Report 2024 supports this interpretation:
"Emotion recognition systems, especially in sensitive contexts such as employment or education, raise significant concerns under EU fundamental rights law and are likely to be restricted." Other uses listed-such as emergency response or emotion detection in healthcare-may fall under lawful and beneficial uses, especially when justified by public interest.


NEW QUESTION # 18
When monitoring the functional performance of a model that has been deployed into production, all of the following are concerns EXCEPT:

Answer: D

Explanation:
System cost is an operational concern but not directly related to the functional performance of the deployed model, unlike feature drift, model drift, and data loss.


NEW QUESTION # 19
The OECD's Ethical AI Governance Framework is a self-regulation model that proposes to prevent societal harms by:

Answer: B

Explanation:
The OECD's Ethical AI Governance Framework emphasizes balancing AI innovation with ethical considerations to prevent societal harms while fostering technological progress.


NEW QUESTION # 20
A U.S. mortgage company developed an Al platform that was trained using anonymized details from mortgage applications, including the applicant's education, employment and demographic information, as well as from subsequent payment or default information. The Al platform will be used automatically grant or deny new mortgage applications, depending on whether the platform views an applicant as presenting a likely risk of default.
Which of the following laws is NOT relevant to this use case?

Answer: C


NEW QUESTION # 21
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